Game theory

Free-rider problems and shared costs

The free-rider problem appears when people can benefit from a shared good without contributing enough to create or maintain it.

Nicolas mechanism signals

These concepts follow the mathematical contract used by the app.

Convex cost

cost = c * sum a_ij^2

Voice budget

sum a_ij^2 <= B

Outcome rule

shifted softmax over support

Why free-riding happens

If the benefit of a shared good is hard to exclude, each person may prefer that others contribute while they conserve their own effort or resources.

The group can then underfund or under-maintain something that many people actually value.

Why preference intensity matters

A broad yes vote can hide weak commitment when a smaller group cares intensely about a public good while many others mildly approve but do not prioritize it.

Quadratic voting helps distinguish those cases by making stronger support spend scarce voice credits.

How Nicolas relates

Nicolas can help groups compare shared-good proposals before they decide who will fund, staff, or maintain them.

It does not enforce contribution, but it produces a clearer decision signal about support, opposition, and intensity.

Use cases

Where this decision model helps

Shared services

Prioritize maintenance, infrastructure, or community services that many people benefit from.

Grant funding

Compare proposals where benefits are shared across a community.

Team operations

Reveal conviction around necessary work that is easy to undervalue.

FAQ

What is the free-rider problem?

It is a public-goods problem where people can benefit from something without contributing enough to create or sustain it.

Does Nicolas enforce contribution?

No. Nicolas helps produce a clearer preference signal before a group decides how to assign work or resources, but it remains a decision tool.

Why is this relevant to DAOs?

DAOs often depend on shared infrastructure, grants, and contributor work where benefits are broad but effort is uneven.